AIMC Topic: Tomography, Emission-Computed, Single-Photon
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Artificial Intelligence for PET and SPECT Image Enhancement.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Jan 2, 2024
Nuclear medicine imaging modalities such as PET and SPECT are confounded by high noise levels and low spatial resolution, necessitating postreconstruction image enhancement to improve their quality and quantitative accuracy. Artificial intelligence (...
Deep learning approach using SPECT-to-PET translation for attenuation correction in CT-less myocardial perfusion SPECT imaging.
Annals of nuclear medicine
Dec 28, 2023
OBJECTIVE: Deep learning approaches have attracted attention for improving the scoring accuracy in computed tomography-less single photon emission computed tomography (SPECT). In this study, we proposed a novel deep learning approach referring to pos...
Automated identification of uncertain cases in deep learning-based classification of dopamine transporter SPECT to improve clinical utility and acceptance.
European journal of nuclear medicine and molecular imaging
Dec 22, 2023
PURPOSE: Deep convolutional neural networks (CNN) are promising for automatic classification of dopamine transporter (DAT)-SPECT images. Reporting the certainty of CNN-based decisions is highly desired to flag cases that might be misclassified and, t...
Ultra-fast whole-body bone tomoscintigraphies achieved with a high-sensitivity 360° CZT camera and a dedicated deep-learning noise reduction algorithm.
European journal of nuclear medicine and molecular imaging
Dec 12, 2023
UNLABELLED: This study aimed to determine whether the whole-body bone Single Photon Emission Computed Tomography (SPECT) recording times of around 10 min, routinely provided by a high-sensitivity 360° cadmium and zinc telluride (CZT) camera, can be f...
Deep learning-based attenuation correction method in Tc-GSA SPECT/CT hepatic imaging: a phantom study.
Radiological physics and technology
Nov 30, 2023
This study aimed to evaluate a deep learning-based attenuation correction (AC) method to generate pseudo-computed tomography (CT) images from non-AC single-photon emission computed tomography images (SPECT) for AC in Tc-galactosyl human albumin dieth...
Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects.
Pharmacological research
Nov 7, 2023
The integration of positron emission tomography (PET) and single-photon emission computed tomography (SPECT) imaging techniques with machine learning (ML) algorithms, including deep learning (DL) models, is a promising approach. This integration enha...
Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT.
IEEE transactions on medical imaging
Oct 2, 2023
Accurate scatter estimation is important in quantitative SPECT for improving image contrast and accuracy. With a large number of photon histories, Monte-Carlo (MC) simulation can yield accurate scatter estimation, but is computationally expensive. Re...
A look at radiation detectors and their applications in medical imaging.
Japanese journal of radiology
Sep 21, 2023
The effectiveness and precision of disease diagnosis and treatment have increased, thanks to developments in clinical imaging over the past few decades. Science is developing and progressing steadily in imaging modalities, and effective outcomes are ...
Comparison of post reconstruction- and reconstruction-based deep learning denoising methods in cardiac SPECT.
Biomedical physics & engineering express
Sep 13, 2023
. The quality of myocardial perfusion SPECT (MPS) images is often hampered by low count statistics. Poor image quality might hinder reporting the studies and in the worst case lead to erroneous diagnosis. Deep learning (DL)-based methods can be used ...
Respiratory signal estimation for cardiac perfusion SPECT using deep learning.
Medical physics
Jul 31, 2023
BACKGROUND: Respiratory motion induces artifacts in reconstructed cardiac perfusion SPECT images. Correction for respiratory motion often relies on a respiratory signal describing the heart displacements during breathing. However, using external trac...
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